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Comprehensive comparison of models for spectral energy distributions from 0.1�m to 1 mm of nearby star-forming galaxies

dc.contributor.authorHunt, Leslie
dc.contributor.authorLooze, Ilse De
dc.contributor.authorBoquien, Médéric
dc.contributor.authorNikutta, R.
dc.contributor.authorRossi, A.
dc.contributor.authorBianchi, S.
dc.contributor.authorDale, Daniel A
dc.contributor.authorGranato, G.L.
dc.contributor.authorKennicutt, Robert C
dc.contributor.authorSilva, L.
dc.contributor.authorGroves, Brent Allan
dc.date.accessioned2022-03-09T04:38:39Z
dc.date.available2022-03-09T04:38:39Z
dc.date.issued2019
dc.date.updated2020-12-20T07:25:37Z
dc.description.abstractWe have fit the far-ultraviolet (FUV) to sub-millimeter (850 μm) spectral energy distributions (SEDs) of the 61 galaxies from the Key Insights on Nearby Galaxies: A Far-Infrared Survey with Herschel (KINGFISH). The fitting has been performed using three models: the Code for Investigating GALaxy Evolution (CIGALE), the GRAphite-SILicate approach (GRASIL), and the Multiwavelength Analysis of Galaxy PHYSical properties (MAGPHYS). We have analyzed the results of the three codes in terms of the SED shapes, and by comparing the derived quantities with simple “recipes” for stellar mass (Mstar), star-formation rate (SFR), dust mass (Mdust), and monochromatic luminosities. Although the algorithms rely on different assumptions for star-formation history, dust attenuation and dust reprocessing, they all well approximate the observed SEDs and are in generally good agreement for the associated quantities. However, the three codes show very different behavior in the mid-infrared regime: in the 5–10 μm region dominated by PAH emission, and also between 25 and 70 μm where there are no observational constraints for the KINGFISH sample. We find that different algorithms give discordant SFR estimates for galaxies with low specific SFR, and that the standard recipes for calculating FUV absorption overestimate the extinction compared to the SED-fitting results. Results also suggest that assuming a “standard” constant stellar mass-to-light ratio overestimates Mstar relative to the SED fitting, and we provide new SED-based formulations for estimating Mstar from WISE W1 (3.4 μm) luminosities and colors. From a principal component analysis of Mstar, SFR, Mdust, and O/H, we reproduce previous scaling relations among Mstar, SFR, and O/H, and find that Mdust can be predicted to within ∼0.3 dex using only Mstar and SFR.en_AU
dc.description.sponsorshipSB, GLG, LKH, AR, and LS acknowledge funding by an Italian research grant, PRIN-INAF/2012, and SB, GLG, LKH, LS, and SZ by the INAF PRIN-SKA 2017 program 1.05.01.88.04. MB was supported by the FONDECYT regular project 1170618 and the MINEDUCUA projects codes ANT 1655 and ANT 1656. IDL gratefully acknowledges the support of the Flemish Fund for Scientific Research (FWO-Vlaanderen). RN acknowledges partial support by FONDECYT grant No. 3140436, and MR support by Spanish MEC Grant AYA-2014-53506-P. This research has made use of the NASA/IPAC Extragalactic Database (NED) which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administrationen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0004-6361en_AU
dc.identifier.urihttp://hdl.handle.net/1885/261952
dc.language.isoen_AUen_AU
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/11142/... "author can archive publisher's version/PDF" from SHERPA/RoMEO site as at 09/09/22en_AU
dc.publisherSpringeren_AU
dc.rights© 2019 The Authorsen_AU
dc.sourceAstronomy and Astrophysicsen_AU
dc.subjectgalaxies: fundamental parametersen_AU
dc.subjectgalaxies: star formationen_AU
dc.subjectgalaxies: ISMen_AU
dc.subjectgalaxies: spiralen_AU
dc.subjectinfrared: galaxiesen_AU
dc.subjectultraviolet: galaxiesen_AU
dc.titleComprehensive comparison of models for spectral energy distributions from 0.1�m to 1 mm of nearby star-forming galaxiesen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issueA51en_AU
local.bibliographicCitation.lastpage40en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationHunt, Leslie, INAF-Osservatorio Astrofisico di Arcetrien_AU
local.contributor.affiliationLooze, Ilse De, Universiteit Gent, Sterrenkundig Observatoriumen_AU
local.contributor.affiliationBoquien, Médéric, Universidad de Antofagasta, Unidad de Astronomíaen_AU
local.contributor.affiliationNikutta, R., Universidad Católica de Chileen_AU
local.contributor.affiliationRossi, A., INAF/Osservatorio di Astrofisica e Scienza dello Spazio di Bolognaen_AU
local.contributor.affiliationBianchi, S., INAF/Osservatorio Astrofisico di Arcetrien_AU
local.contributor.affiliationDale, Daniel A, University of Wyomingen_AU
local.contributor.affiliationGranato, G.L., INAF/Osservatorio Astronomico di Triesteen_AU
local.contributor.affiliationKennicutt, Robert C , University of Cambridgeen_AU
local.contributor.affiliationSilva, L., INAF/Osservatorio Astronomico di Triesteen_AU
local.contributor.affiliationGroves, Brent Allan, College of Science, ANUen_AU
local.contributor.authoruidGroves, Brent Allan, u9816125en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor080110 - Simulation and Modellingen_AU
local.identifier.absfor020103 - Cosmology and Extragalactic Astronomyen_AU
local.identifier.absseo970102 - Expanding Knowledge in the Physical Sciencesen_AU
local.identifier.ariespublicationu3102795xPUB606en_AU
local.identifier.citationvolume621en_AU
local.identifier.doi10.1051/0004-6361/201834212en_AU
local.identifier.scopusID2-s2.0-85059810471
local.publisher.urlhttps://www.aanda.org/en_AU
local.type.statusPublished Versionen_AU

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